.clean_uncertainty

Standardise distribution parameter uncertainty

internal

Classes and helper functions for loading, extracting, converting,
manipulating, plotting and aggregating epidemiological parameters for infectious diseases.
Epidemiological parameters extracted from the literature are loaded from the 'epiparameterDB'
R package.

Joshua W. Lambert

epiparameter

Classes and Helper Functions for Working with Epidemiological
Parameters

Adam Kucharski

Carmen Tamayo

Hugo Gruson

Sebastian Funk

Pratik Gupte

James M. Azam

Chris Hartgerink

Tim Taylor

.clean_uncertainty function

<dl><dt>x</dt>
<dd>An <code>&lt;epiparameter&gt;</code> object.</dd>
<dt>prob_distribution</dt>
<dd>An S3 class containing the probability
distribution or a character string if the parameters of the probability
distribution are unknown but the name of the distribution is known, or <code>NA</code>
if the distribution name and parameters are unknown. Use
<code>create_prob_distribution()</code> to create <code>prob_distribution</code>.</dd>
<dt>uncertainty_missing</dt>
<dd>A boolean <code>logical</code> as to whether <code>uncertainty</code>
is missing (see <code><a href="/link/missing()?package=epiparameter&version=0.4.1" data-mini-rdoc="epiparameter::missing()">missing()</a></code>) from the parent function.</dd></dl>

Arguments

Standardise distribution parameter uncertainty — .clean_uncertainty

<dl>

<dt>x</dt>
<dd>An <code>&lt;epiparameter&gt;</code> object.</dd>


<dt>prob_distribution</dt>
<dd>An S3 class containing the probability
distribution or a character string if the parameters of the probability
distribution are unknown but the name of the distribution is known, or <code>NA</code>
if the distribution name and parameters are unknown. Use
<code>create_prob_distribution()</code> to create <code>prob_distribution</code>.</dd>


<dt>uncertainty_missing</dt>
<dd>A boolean <code>logical</code> as to whether <code>uncertainty</code>
is missing (see <code><a href='https://rdrr.io/r/base/missing.html'>missing()</a></code>) from the parent function.</dd>

</dl>

Standardise distribution parameter uncertainty

.clean_uncertainty: Standardise distribution parameter uncertainty

Description

Usage

Value

Arguments